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Transform Data by Adding a Border

Source: R/surreal.R
border_augmentation.Rd

This function transforms the input data by adding points around the original data to create a frame. It uses an optimization process to find the best alpha parameter for point distribution, which helps in making the fitted values and residuals orthogonal.

Usage

border_augmentation(x, y, n_add_points = 40, verbose = FALSE)

Arguments

x

Numeric vector of x coordinates.

y

Numeric vector of y coordinates.

n_add_points

Integer. Number of points to add on each side of the frame. Default is 40.

verbose

Logical. If TRUE, prints optimization progress. Default is FALSE.

Value

A matrix with two columns representing the transformed x and y coordinates.

Examples

# Simulate data
x <- rnorm(100)
y <- rnorm(100)

# Append border to data
transformed_data <- border_augmentation(x, y)

# Modify par settings for plotting side-by-side
oldpar <- par(mfrow = c(1, 2))

# Graph original and transformed data
plot(x, y, pch = 16, main = "Original data")
plot(
  transformed_data[, 1], transformed_data[, 2], pch = 16,
  main = "Transformed data", xlab = 'x', ylab = 'y'
)


# Restore original par settings
par(oldpar)